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Agenta vs Laminar

Learn how Agenta and Laminar differ in their key features, development activity, technology stack and community adoption, so you can decide which of these llm observability & evaluation is best for you.

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Favicon of Agenta

Agenta

AI
Open-source LLMOps platform providing prompt management, evaluation, and observability tools for building robust AI applications with team collaboration.
4,495stars+182(+4.2%)

Last 30 days

Screenshot of Agenta
Favicon of Laminar

Laminar

AI
Laminar is an open-source platform that helps collect, understand, and utilize data for building high-quality LLM applications.
3,182stars+80(+2.6%)

Last 30 days

Screenshot of Laminar

Detailed Comparison

Agenta appears to have several advantages over Laminar, particularly in growth, maturity and licensing. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.

Comparable
Community & Popularity

Both tools have similar popularity levels, with Agenta having 4,495 stars and Laminar having 3,182 stars on GitHub. In terms of developer contributions, Agenta has 631 forks, indicating moderate developer engagement.

Agenta wins
Growth Momentum

Agenta is growing faster, adding 182 stars in the last 30 days (+4.2%) against adding 80 stars for Laminar (+2.6%). Agenta is both larger and pulling further ahead.

Comparable
Development Activity

Both projects show recent activity, with Agenta last updated 8 hours ago and Laminar 1 day ago.

Comparable
Technology Stack

Both tools share common technology foundations, being built with JavaScript, CSS, Typescript, JSX, Python, Next.js. However, they differ in their additional technology choices: Agenta uses Bash while Laminar leverages Rust.

Agenta wins
Project Maturity

Agenta has been in development longer, starting 3 years ago, compared to Laminar which began 2 years ago. This 1.4-year head start suggests Agenta may have more mature features and established processes.

Agenta wins
Licensing

Agenta uses the MIT license, which is more permissive than Laminar's Apache-2.0 license, potentially offering greater flexibility for commercial use and integration.

Comparable
Use Cases & Features

Both tools serve similar use cases in LLM Observability & Evaluation.

Comparable
Hosting & Deployment

Both Agenta and Laminar offer self-hosting capabilities, giving you full control over your data and infrastructure.